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Deep Learning with Wolfram Neural Networks?

Bryan Minor, Envision.ai
Posted 8 years ago

Is anyone interested in and actively using Wolfram to do Deep Learning research?

I am doing research in all areas of Deep Learning with my focus currently on VGG style of convolution neural networks (CNN). I will be branching out very soon to RLN, RNN, and GAN research very soon.

I would like to be able to compare experiences and lessons learned using Wolfram in these areas.

Thanks for any interest in discussions on Deep Learning.
POSTED BY: Bryan Minor
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POSTED BY: Vitaliy Kaurov

Thank Vitaliy for the information :)

I have doing numerous VGG CNN instances with 11.1 with success. Much to learn about the possibilities.

Do you know of any good examples with Wolfram Mathematica doing:

  1. RLN
  2. GAN Deep learning cases?
POSTED BY: Bryan Minor

I've never seen the acronym "RLN". Could you clarify what you mean by this?
POSTED BY: Sebastian Bodenstein
POSTED BY: Bryan Minor

This is still not entirely clarified, as "RLNN" is still a non-standard acronym (as far as I know). Are you referring to policy networks in reinforcement learning? Perhaps send me a link to a paper or page which does what you want.
POSTED BY: Sebastian Bodenstein

I am not an expert in RL. The paper of interest is: https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf
POSTED BY: Bryan Minor

Sebastian -> I am thoroughly enjoying using Mathematica 11.1 to explore and learn on DL technology, thanks for your team's excellent work.
POSTED BY: Bryan Minor

Vitaliy,

Is the neural net code in Mathematica all "home grown" or do you use software such as tensorflow under the hood?

Regards
POSTED BY: Neil Singer

We use Apache MXNet (http://mxnet.io/) as a backend, and we also contribute improvements to this open source project.
POSTED BY: Sebastian Bodenstein

Sebastian,

So the documentation of MXnet.io should be helpful for using DL in Mathematica 11.1?
POSTED BY: Bryan Minor
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